SAIC Invests in Growing Innovation Ecosystem

Emerging technologies and agile development aid rapid execution on solutions

Kuan Collins

The United States is at risk of falling behind in the development of artificial intelligence, with potentially serious national security consequences. China, for one, is aggressively building up an AI industry, with a publicized goal of achieving major breakthroughs by 2025. The Department of Defense and federal government’s ability to grow AI means staying ahead in obtaining actionable insights from data mountains and preserving our nation at home and abroad. It is our responsibility as a solutions provider to mature our understanding and participate in the development of this technology.

In the field of AI, advances in machine learning and cognitive computing are leading to intelligent software for a wide variety of functions that include:

Intelligent software is vital to human-machine teams for deriving meaning from massive amounts of structured and unstructured data. Conditioning this data—inspecting, cleansing, transforming, modeling—and then mining it to get useful information, inform conclusions, and extrapolate future probabilities are integral to national security decision-making.

DOD takes action

Fortunately, the DoD is responding to these challenges with long-term plans that include establishing a Joint Artificial Intelligence Center. Its goals: focus DoD’s hundreds of separate AI projects and get all the data that its military forces and the intelligence community are generating in a place that’s usable and useful. The federal government has also responded by employing emerging technologies, through procurements such as the GSA Centers of Excellence, to modernize infrastructure and analytics tools at various agencies.

FURTHER READING: A Broker Of Efficiency in Data Analytics

The DoD and federal government have a long history of strategically partnering with commercial companies and academia for capabilities development, and AI is no different. Their relationships with technology market leaders like SAIC, emerging technology companies, and universities are instrumental in creating an ecosystem for accelerating the development of analytic frameworks and intelligent software architectures, compressing timelines from rapid prototyping to solution readiness, and igniting technological and business transformation.

SAIC Innovation Factory concept

In particular, SAIC has several major investments in startup accelerators such as Capital Factory, Techstars Starburst Space Accelerator, and Catalyst Campus to engage emerging technology providers and co-develop solutions employing AI, ML, and blockchain for our government customers. The initiatives are part of our Innovation Factory that gives government customers accelerated delivery of these advanced technical solutionsin weeks instead of yearsthrough the use of agile, incremental development approaches, and deployment of DevSecOps methodologies.

The initiatives help foster and accelerate agile and DevOps adoption in the federal government, providing sandbox environments to quickly design and test capabilities against our customer use cases. These environments allow SAIC to deliver emerging technology-enabled capabilities in weeks instead of months and years. They will support experimentation with a “fail-fast” approach to technology and solution development that’s incremental, fluid, and dynamic. Coupling this startup culture with SAIC’s domain expertise results in solutions that “close the loop” and ensures sustainable and transformative integration of prototypes and pilot capabilities into government programs of record.

SAIC is leading the way in modeling this new innovation ecosystem that is linked by academic, system integrator, and tech startup partnerships, and is living the philosophy of rapid execution on challenges and delivering tangible results.

RELATED BLOG: Accelerated Solutions: The Power of Partnerships

Partnerships enable the right mix of expertise and partner capabilities in pursuit of DoD and federal government objectives for IT modernization and digital transformation. SAIC, in partnership with the federal government, is harnessing the network of thousands of innovative, emerging technology startups and a progressive workforce of scientists, engineers, and field experts. They are skilled with emerging technology tools, processes, and methodologies for tackling problems and live and breathe AI, machine learning, and data science.

The development of partnerships, R&D projects, and innovation facilities ultimately enables mutual, synergistic understanding of how to apply AI and intelligent software to DoD and federal government missions and problems. This cultivates a culture of innovation and continuous learning and kick-starts the transformation of next-generation national security and defense capabilities that benefit all of us.

Interested in being part of our Innovation Factory?

Is your company an innovator in machine learning, augmented/virtual reality, analytics, data visualization, cybersecurity, application modernization, DevSecOps, IT transformation, blockchain, or another emerging technology of potential interest to SAIC? We are looking for emerging technology partners and want to learn more about the work you're doing. Simply fill out our quick form.

FURTHER READING: Read the other ways that SAIC is broadening our innovation ecosystem.

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SAIC's Innovation Factory Is a Solutions Accelerator

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Posted by: Kuan Collins

Master Solutions Architect, Software

Kuan Collins is a recognized expert and resource in specialized engineering and data analytics. She has led senior solution architect teams, and develops for all customer groups intelligent software solutions that produce insights and action plans from disparate data sources, using data-driven and artificial intelligence methods. A Ph.D., Kuan draws on her judgment and expertise derived from her 19 years of experience to develop technical strategies, architectures, and roadmaps for solving total system challenges for intelligent software and analytics customers.

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